Quantitative myocardial perfusion MRI has the potential to guide the management of patients with coronary artery disease. It has been shown to have high prognostic value and has the benefit of being automated and user-independent. However, a known limitation of the technique is that it cannot distinguish between perfusion defects that are due to a previous infarction and inducible ischemia. In this work we combine quantitative myocardial perfusion with a further automated pipeline for scar quantification from LGE images. It is shown that this combined assessment can identify areas of inducible ischemia in which the tissue is viable.